Breaking the (Benford) Law

@article{TamCho2007BreakingT,
  title={Breaking the (Benford) Law},
  author={Wendy K. Tam Cho and Brian J. Gaines},
  journal={The American Statistician},
  year={2007},
  volume={61},
  pages={218 - 223}
}
Benford's law is seeing increasing use as a diagnostic tool for isolating pockets of large datasets with irregularities that deserve closer inspection. Popular and academic accounts of campaign finance are rife with tales of corruption, but the complete dataset of transactions for federal campaigns is enormous. Performing a systematic sweep is extremely arduous; hence, these data are a natural candidate for initial screening by comparison to Benford's distributions. 
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Abstract Recent research has focused on studying the patterns in the digits of closely followed stock market indexes. In this paper we find that the series of 1-day returns on the Dow-Jones
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Election Forensics: The Second-digit Benford’s Law Test and Recent American Presidential Elections While the technology to conduct elections continues to be imperfect, it is useful to investigate
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A mathematical expression known as Benford's law provides an example of an unexpected relationship among randomly selected sequences of first significant digits (FSDs). Newcomb [Note on the frequency
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